'm getting below
>
> java.io.InvalidClassException: scala.Option; local class incompatible:
> stream classdesc serialVersionUID = -114498752079829388, local class
> serialVersionUID = 5081326844987135632
> at java.io.ObjectStreamClass.initNonProxy(
Hello, I'm writing a Play Framework application which does Spark, however
I'm getting below
java.io.InvalidClassException: scala.Option; local class incompatible:
stream classdesc serialVersionUID = -114498752079829388, local class
serialVersionUID = 5081326844987135
>> 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage
>> 0.0 (TID 13, 172.31.20.212): java.io.InvalidClassException:
>> org.apache.spark.executor.TaskMetrics; local class incompatible: stream
>> classdesc serialVersionUID = -2231953621568687904, local class
>> serialVersionUID = -6966587383730940799
>>
>
>
n: Job aborted due to stage failure: Task 0
> in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage
> 0.0 (TID 13, 172.31.20.212): java.io.InvalidClassException:
> org.apache.spark.executor.TaskMetrics; local class incompatible: stream
> classdesc serialVersionUID = -
I get the following exception. I am using Spark 2.0.1 and Scala 2.11.8.
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage
0.0 (TID 13, 172.31.20.212): java.io.InvalidClassException
2015-10-13 03:42:54,843 [task-result-getter-2] WARN
> org.apache.spark.scheduler.TaskSetManager - Lost task 173.0 in stage 0.0
> (TID 173, 9.37.251.65): java.io.InvalidClassException:
> scala.reflect.ClassTag$$anon$1; local class incompatible: stream classdesc
> serialVersionUID = -4937928798201944954, lo
)
2015-10-13 03:42:54,843 [task-result-getter-2] WARN
org.apache.spark.scheduler.TaskSetManager - Lost task 173.0 in stage 0.0
(TID 173, 9.37.251.65): java.io.InvalidClassException:
scala.reflect.ClassTag$$anon$1; local class incompatible: stream classdesc
serialVersionUID = -4937928798201944954
: java.io.InvalidClassException
I would certainly try to mark the Validator class as Serializable...If that
doesn't do it you can also try and see if this flag sheds more light:
-Dsun.io.serialization.extendedDebugInfo=true
By programming guide I mean this:
https://spark.apache.org/docs/latest/progra
t: Row): Validator = {
>
> var check1: Boolean = if (input.getDouble(shortsale_in_pos) >
> 140.0) true else false
>
> if (check1) this else Nomatch
>
> }
>
> }
>
>
>
> Saif
>
>
>
> *From:* Yana Kadiyska [mailto:yana.kadiy...@gmail.co
il.com]
Sent: Monday, July 13, 2015 2:16 PM
To: Ellafi, Saif A.
Cc: user@spark.apache.org
Subject: Re: java.io.InvalidClassException
It's a bit hard to tell from the snippets of code but it's likely related to
the fact that when you serialize instances the enclosing class, if any, also
eption: Job aborted due to stage failure: Task 0
> in stage 125.0 failed 1 times, most recent failure: Lost task 0.0 in stage
> 125.0 (TID 830, localhost): java.io.InvalidClassException:
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iw
ion works properly,
when calling evaluate_paths(some_row, validators).
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
stage 125.0 failed 1 times, most recent failure: Lost task 0.0 in stage 125.0
(TID 830, localhost): java.io.InvalidClassException:
$iwC$$iwC$$iwC$$iwC
ted due
to stage failure: Task 0 in stage 3.0 failed 4 times, most recent failure:
Lost task 0.3 in stage 3.0 (TID 346, datanode02):
java.io.InvalidClassException: org.apache.spark.rdd.PairRDDFunctions; local
class incompatible: stream classdesc serialVersionUID =
8789839749593513237, l
No able to get it , how did you exactly fix it? i am using maven build
i downloaded spark1.1.1 and then packaged with mvn -Dhadoop.version=1.2.1
-DskipTests clean package but i keep getting invalid class exceptions
--
View this message in context:
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SerializableMapWrapper was added in
https://issues.apache.org/jira/browse/SPARK-3926; do you mind opening a new
JIRA and linking it to that one?
On Mon, Dec 1, 2014 at 12:17 AM, lokeshkumar wrote:
> The workaround was to wrap the map returned by spark libraries into HashMap
> and then broadcast
The workaround was to wrap the map returned by spark libraries into HashMap
and then broadcast them.
Could anyone please let me know if there is any issue open?
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/java-io-InvalidClassException-org-apache-spark-a
stage failure: Task 0 in
stage 815081.0 failed 4 times, most recent failure: Lost task 0.3 in stage
815081.0 (TID 4751, ns2.dataken.net): java.io.InvalidClassException:
org.apache.spark.api.java.JavaUtils$SerializableMapWrapper; no valid
constructor
at
java.io.ObjectStreamClass
stage failure: Task 0 in
stage 815081.0 failed 4 times, most recent failure: Lost task 0.3 in stage
815081.0 (TID 4751, ns2.x.net): java.io.InvalidClassException:
org.apache.spark.api.java.JavaUtils$SerializableMapWrapper; no valid
constructor
at
java.io.ObjectStreamClass
After wasting a lot of time, I've found the problem. Despite I haven't used
hadoop/hdfs in my application, hadoop client matters. The problem was in
hadoop-client version, it was different than the version of hadoop, spark
was built for. Spark's hadoop version 1.2.1, but in my application that was
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